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    Principal Research Engineer - Toronto, ON, Canada - Moonvalley

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    Description

    The role

    We are building the world's most capable foundational models, allowing anyone to generate beautiful, cinematic and high-definition video in minutes.

    We're a small team of young & hungry researchers, and have raised over $30m from world class investors including Khosla Ventures & YCombinator. We released our first model two months ago, quickly becoming the fastest growing AI product on Discord since Midjourney with over 100,000 users in 6 weeks.

    We're looking for a Principal Research Engineer and the role is fully remote.

    At Moonvalley, our product development process will be a bit non-standard and consist of small autonomous teams working to ship great features and experiences. Here is a good primer. You'll work closely with your team (product designer, developers) daily, take ownership, make calls, and see things through without a lot of oversight.

    What you'll do (responsibilities)

    As a Principal Research Engineer, you'll be working alongside MLEs, you will ensure the development and deployment of cutting-edge AI models. Reporting directly to our Chief Scientist Officer, you will be responsible for:

    • Architecting and developing high-performance MLOps systems that seamlessly integrate with our AI models, enhancing both development and deployment cycles
    • Collaborating with cross-functional teams—spanning data scientists, AI researchers, and software engineers—to deeply understand requirements and align data, infrastructure and model training strategies with our ambitious goals
    • Providing technical leadership in the selection and implementation of software technologies
    • Diagnosing and resolving complex software challenges, optimizing the performance and reliability of our AI/ML systems
    • Guiding project planning and estimation to ensure resources are efficiently allocated, facilitating on-time and impactful solution delivery
    • Crafting and maintaining essential technical documentation to support system architecture, API usage, and operational guidelines
    • Scaling high volume parallel AI models

    What we're looking for (qualifications)

    The ideal candidate for this role should possess:

    • Masters or PhD in Computer Science, Mathematics or a related field with experience in modern deep learning technology
    • Minimum 5 years working with a leading world-class, high performance engineering team
    • Expertise in machine learning tools, and implementing best practices
    • Proven experience with scaling large-scale LLMs and/or other Deep Learning systems
    • Strong technical proficiency in AI and ML, capable of guiding complex project designs and implementations
    • (Nice to have): Experience with low-level optimizations; in particular, low-level GPU programming

    What we offer (compensation & benefits)

    • Competitive salary and equity
    • Health coverage
    • Unlimited paid vacation
    • Fully-distributed culture that's async first
    • Hardware setup
    #J-18808-Ljbffr


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